Intelligent and Fuzzy Systems: Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2 (Lecture Notes in Networks and Systems, 505)

Preface
Organization
	Program Committee Chairs
	Program Committee Members
Contents
Machine Learning
An Improved Animal Migration Optimization Approach for Extreme Learning Machine Tuning
	1 Introduction
	2 Background and Literature Review
		2.1 ELM
		2.2 Swarm Intelligence and It\'s Application in Machine Learning
	3 Proposed Method: Animal Migration Optimization and Adaptations for ELM Tuning
		3.1 Basic Animal Migration Optimization
		3.2 Improved Animal Migration Optimization
		3.3 Proposed ELM Model
	4 Experiments and Discussion
	5 Conclusion
	References
Store-based Demand Forecasting of a Company via Ensemble Learning
	Abstract
	1 Introduction
	2 Literature Review
	3 Proposed Methodology and Modelling
	4 Conclusion and Future Work
	References
Prediction of the Future Success of Candidates Before Recruitment with Machine Learning: A Case Study in the Banking Sector
	Abstract
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Evaluation Methods
	4 Real Life Application
		4.1 Data Collection and Preparation
		4.2 Machine Learning Modeling
		4.3 Improving the Success of the Preferred Model
	5 Conclusion
	References
Effectiveness of Social Media in Stock Market Price Prediction Based on Machine Learning
	Abstract
	1 Introduction
	2 Literature Review
	3 Data Collection
		3.1 Twitter Data
		3.2 Stock Market Data
		3.3 Currency and Gold Price Data
	4 Methodology
		4.1 Preparation of Dataset for Analysis
		4.2 Classification and Deep Learning
	5 Results
	6 Conclusion
	References
Deep Learning-Based Cancerous Lung Nodule Detection in Computed Tomography Imageries
	Abstract
	1 Introduction
	2 Related Work
	3 Proposed Luna Model
	4 Experiments and Results
	5 Conclusion
	References
Improving Disease Diagnosis with Integrated Machine Learning Techniques
	Abstract
	1 Introduction
	2 Methodology
		2.1 Feature Extraction
		2.2 Classification
		2.3 Performance Measures
	3 Application
	4 Results and Discussion
	5 Conclusion
	References
Explanation of Machine Learning Classification Models with Fuzzy Measures: An Approach to Individual Classification
	1 Introduction
	2 Preliminary
	3 Mathematical Model
	4 Conclusions and Further Research
	References
A Machine Learning Based Method for Automatic Identification of Disaster Related Information Using Twitter Data
	Abstract
	1 Introduction
	2 Literature Review
	3 Methodology, Implementation and Results
		3.1 Application
	4 Conclusions
	References
Human Activity Recognition with Smart Watches Using Federated Learning
	1 Introduction
	2 Related Work
	3 Federated Learning
		3.1 Advantages
		3.2 Challenges
	4 Dataset and Methodology
		4.1 Appliacation and UT Smoking Dataset
		4.2 Deep Learning Models
	5 Performance Evaluation
	6 Conclusion and Future Research
	References
Prediction of Gross Movie Revenue in the Turkish Box Office Using Machine Learning Techniques
	Abstract
	1 Introduction
	2 Literature Review
	3 Data
	4 Methodology
	5 Findings
	6 Conclusion
	References
Prospects for the Development of Transport Logistics and a Fuzzy Logic Model of the Strategic Goals of the Logistics System of Azerbaijan
	Abstract
	1 Introduction
	2 Application of Fuzzy Logic
	References
A Multi-channel Deep Learning Architecture for Understanding the Urban Scene Semantics
	1 Introduction
	2 Related Works
	3 Methodology
	4 Results
	5 Discussion and Conclusion
	References
Forecasting Greenhouse Gas Emissions Based on Different Machine Learning Algorithms
	Abstract
	1 Introduction
	2 Methodology
		2.1 Machine Learning Algorithms
	3 Numerical Results
	4 Conclusion
	References
The Computation Trend of Fuzzy Rules for Effective Decision Support Mechanism on Basis of Supervised Learning for Multiple Periods
	Abstract
	1 Introduction
		1.1 Related Work
	2 Architecture of Anfis and Ml Algorithms
	3 Experiments and Results
	4 Conclusion
	References
Intelligent Systems Utilization in Recommender Systems: A Reinforcement Learning Approach
	Abstract
	1 Introduction
	2 Related Works
		2.1 Collaborative Filtering
		2.2 Content Based Filtering
	3 Application
	4 Discussions and Concluding Remarks
	References
Equity Portfolio Optimization Using Reinforcement Learning: Emerging Market Case
	1 Introduction
	2 Background Study
		2.1 Financial Time Series Analysis
		2.2 Portfolio Management
		2.3 Finite Markov Decision Process
		2.4 Literature Review
	3 Modeling and Analysis
		3.1 Reward Function
		3.2 Deep-Deterministic Policy Gradient
		3.3 Proximal Policy Optimization
	4 Results and Interpretation
	5 Conclusion and Discussion
	References
Marketing Campaign Management Using Machine Learning Techniques: An Uplift Modeling Approach
	Abstract
	1 Introduction
	2 Related Work
		2.1 Direct Marketing
		2.2 Uplift Modelling
	3 Data
	4 Methodology
	5 Results
	6 Conclusion and Future Work
	References
Real Time Big Data Analytics for Tool Wear Protection with Deep Learning in Manufacturing Industry
	Abstract
	1 Introduction
	2 Data Management
		2.1 Data Ingestion
		2.2 Data Preprocessing and Data Compression
	3 Data Analytics
		3.1 Data Visualization
	4 Conclusion
	References
Instinctive Data Analysis in Machine Learning and Summary Exhibitor
	Abstract
	1 Introduction
	2 Problem Established
	3 Literature Survey
		3.1 Outlining Literature Review
	4 Need of this Research
	5 Methodology
		5.1 User
		5.2 Web Application
		5.3 Uploading dataset
		5.4 Machine Learning Technique Selection
		5.5 Automated Data Pre-processing
		5.6 Model Result with Best Accuracy Score
	6 Result
	7 Conclusion
	Acknowledgement
	References
A Supervised Learning Approach to Store Choice Behavior Modeling Using Consumer Panel Metrics
	Abstract
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Models
		3.2 Data
	4 Findings
	5 Conclusion and Discussion
	References
Categorization of the Models Based on Structural Information Extraction and Machine Learning
	Abstract
	1 Introduction
	2 Related Works
	3 Methods and Materials
		3.1 Dataset
		3.2 Proposed Framework
			3.2.1 Structure Embedding and Feature Extraction for Vectorization
			3.2.2 Model Categorization Using Machine Learning
	4 Experimental Study
	5 Conclusion
	References
Improving and Assessing the Prediction Capability of Machine Learning Algorithms for Breast Cancer Diagnosis
	Abstract
	1 Introduction
	2 Methodology
		2.1 Support Vector Machines (SVM)
		2.2 Logistic Regression (LR)
		2.3 Random Forest (RF)
	3 Application
		3.1 Data Collection
		3.2 Data Pre-processing
		3.3 Experimental Results and Discussion
	4 Conclusion
	References
A Supervised Learning Algorithms for Consumer Product Returns Case Study for FLO Offline Stores
	Abstract
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Classification
		3.2 LightGBM/Machine Learning Algorithms
		3.3 Random Forest/Machine Learning Algorithms
		3.4 Decision Tree/Machine Learning Algorithms
		3.5 Application and Results
	4 Conclusion
	References
Applications
Evaluation Model for Supply Chain Agility in a Fuel Oil Supply Company
	Abstract
	1 Introduction
	2 Methodology
		2.1 Interval-Valued Pythagorean Fuzzy Sets
		2.2 Interval-Valued Pythagorean Fuzzy (IVPF) AHP
	3 Case Study
	4 Conclusion
	References
Efficiency Evaluation of Wastewater Treatment Plants Through Interval Data Envelopment Analysis: A Case Study in Turkey
	Abstract
	1 Introduction
	2 Methodology
		2.1 Determination of the Input and Output Variables Using Extended-SWARA
		2.2 Data Envelopment Analysis
	3 A Case Study: Efficiency Evaluation of WWTPs in Istanbul
		3.1 Determination of the Input and Output Variables Using Extended-SWARA
		3.2 Efficiency Evaluation of WWTPs
		3.3 Investigation of Linking Between the Efficiencies and Exogenous Factors
	4 Conclusions
	References
Feature Selection and Feature Extraction-Aided Classification Approaches for Disease Diagnosis
	1 Introduction
	2 Proposed Approach
		2.1 PLS Feature Extraction
		2.2 SVM-RFE Feature Selection
		2.3 Classifier Model Construction
	3 Experiments and Results
		3.1 Dataset
		3.2 Feature Extraction Experiment
		3.3 Feature Selection Expriment
	4 Conclusion
	References
Risk Assessment of WtE Plants by Using a Modified Fuzzy SCEA Approach
	1 Introduction
	2 Preliminaries
		2.1 IVIF AHP
		2.2 Safety and Critical Effects Analysis
	3 The Proposed Risk Assessment Approach and Its Application
	4 Conclusion
	References
An Intelligent Retinal Fundus Image Label Sharing Method by Domain Transformation Technique
	1 Introduction
	2 Datasets and Preprocessing
	3 Method
	4 Results
		4.1 Qualitative Analysis of Synthetic Images
		4.2 Un-annotated Image Segmentation Results
		4.3 Quantitative Analysis of Synthetic Images
	5 Conclusion
	References
The Effect of Trust and Price on Satisfaction and Intention to Online Group Buying
	Abstract
	1 Introduction
	2 Literature Review
	3 Solving Method
	4 Results
	5 Conclusion
	References
Kidney Transplantation and Allocation Decision Support Analysis Under COVID-19 Uncertainty
	Abstract
	1 Introduction and Literature Review
	2 Methodology
	3 Spherical Fuzzy Linear Assignment (SF-LAM) Algorithm
	4 Application
	5 Conclusion
	References
A Forecasting Study of Covid-19 Epidemic: Turkey Case
	Abstract
	1 Introduction
	2 Turkey Case
	3 Literature Review
	4 Case Study and Results
	5 Conclusion
	References
Social Influence in Fuzzy Group Decision Making with Applications
	1 Introduction
	2 State of the Art
	3 Influence Based Notions
	4 Framework of the Proposed Model
	5 Related Applications of the Proposed Model
	6 Conclusion and Future Works
	References
Predicting Firms’ Performances in Customer Complaint Management Using Machine Learning Techniques
	Abstract
	1 Introduction
	2 Method
		2.1 Data Extraction
		2.2 Data Preparation and Pre-processing
		2.3 Machine Learning Algorithms
		2.4 Experimental Setup and Performance Evaluation
	3 Results
	4 Conclusion
	References
Hybrid Models for Vendor Selection Problem in Software Industry: A Pilot Case Study
	Abstract
	1 Introduction
	2 Literature Review
	3 Structuring Problem
	4 Constructing Decision Model
		4.1 Fuzzy Sets
		4.2 Ahp
	5 Case Study
	6 Conclusion
	References
Supply Chain Network (SCN) Resilient Pattern Recognition and Intelligent Strategy Recommender Approach for the Post-COVID-19 Era
	Abstract
	1 Introduction and Literature Background
	2 Methodology
	3 Evaluation, Results, and Discussion
	4 Conclusion
	References
Remote Access and Management of Plants Experience During Pandemics Time Across the World
	Abstract
	1 Introduction
	2 Problem Statement
	3 Conclusion
	References
An Autonomous UAV Based Rail Tracking and Sleeper Inspection with Light-Weight Line Segmentation Approach
	Abstract
	1 Introduction
	2 UAV Based Automatic Rail Tracking and Sleeper Inspection
		2.1 Rail and Sleeper Detection with Deep Learning-Based Light-Weight Line Segmentation
		2.2 Autonomous Rail Tracking with UAV Control
		2.3 The Detection of Sleeper Problems
	3 Experimental Results
	4 Conclusions
	Acknowledgments
	References
Modeling Urban Human Mobility and Predicting Planning Transportation Facilities Using K-Means Clustering Algorithm
	Abstract
	1 Introduction
		1.1 Background
	2 Related Works
		2.1 Activity-Based Patterns of Human Mobility
	3 Inference Spatiotemporal Pattern of Human Mobility in Maputo Using Data Mining Technique
	4 Methodology
		4.1 Introduction
		4.2 Data Collection Method
		4.3 Data Processing and Analysis
	5 Results Discussions and Conclusion
	References
Air Cargo Competition with Modern Layout Methods
	Abstract
	1 Introduction
		1.1 Supply Chains
		1.2 Competitiveness
		1.3 ENVI-met Software Program
		1.4 Layouts
	2 Problem Definition
	3 Literature Review
		3.1 Airport Major Facilities
		3.2 Analysis of Air Cargo Facility
		3.3 Air Cargo Definition
		3.4 Air Cargo Market
	4 ENVI-met Program
		4.1 Input Data for the Simulation Model
	5 The Simulation Results of the Model
	6 Conclusion and Future Work
	References
Performance of Simultaneous Perturbation Stochastic Approximation for Feature Selection
	Abstract
	1 Introduction
	2 Tackled Algorithms and Literature Review
		2.1 Simultaneous Perturbation Stochastic Approximation
		2.2 Migrating Birds Optimization
		2.3 Simulated Annealing
	3 Application of Algorithms to the FS Problem
	4 Computational Experiments and Discussion
	5 Conclusion
	References
Intelligent Container Repositioning with Depot Pricing Policies
	Abstract
	1 Introduction
	2 Literature Review
	3 Problem Definition
	4 Solution Methodology
	5 Experimental Results
	6 Conclusion
	References
Improving the Performance of a Network of Signalized Roundabouts via Microscopic Traffic Simulation Tool
	Abstract
	1 Introduction
	2 Literature Review
	3 Flow Overview of SUMO’s Modules
	4 Performance Evaluation of a Network of Signalized Roundabouts Under Different Scenarios
	5 Computational Results
	6 Conclusions and Future Work
	References
Decarbonization of Turkey: Text Mining Based Topic Modeling for the Literature
	Abstract
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Latent Dirichlet Allocation (LDA)
		3.2 K-Means
		3.3 KNN
		3.4 Other Methodologies
	4 Data Preparation
	5 Findings
	6 Conclusion
	References
The STAMP€ IT Platform: Digitalisation for Modelers
	Abstract
	1 Introduction
		1.1 Main Objectives and Contribution
		1.2 Approach Taken
	2 An Original IT Infrastructure for the Specific Purpose of Model Management
		2.1 Overview of the Objectives and Main Functionalities
		2.2 Required Capabilities to Be Covered
		2.3 The IT Solution: Three Set-Ups for Three User Types
		2.4 A Bunch of Software All in One Place
	3 A Use Case Illustration: Macro Reverse Stress Testing
		3.1 An Illustration of How the Platform Functions
		3.2 Reverse Stress Test: Definition and Conduct for a System of Banks
		3.3 A Specific Scenario Design
		3.4 Computational Avenues to Solve the RST Problem
	4 Conclusions and Future IT Systems
	Disclaimer and Acknowledgments
	References
Development of Secure Platform for Innovative Processes Implementation in Scientific and Industrial Cluster by VPN Network Segment Differentiation
	Abstract
	1 Introduction
	2 Implementation of the Algorithmic Component
		2.1 Cluster Analysis and Segmentation
		2.2 Building a Neural Network Model
		2.3 Multi-factor Security of Transmitted Data
	3 Conclusion
	Acknowledgments
	References
Performance Measurement of Healthcare: A Case Study for Pilot Hospital
	Abstract
	1 Introduction
	2 Literature Review
	3 Material and Method
		3.1 F-TOPSIS
		3.2 DEA
	4 Hospital Performance Evaluation
	5 Conclusion
	References
Store Segmentation in Retail Industry Using Clustering Algorithms
	Abstract
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Data
	5 Findings
		5.1 K-means and Fuzzy C-means Clustering
		5.2 Comparison of Methods with Silhouette Index and Dunn Index
	6 Conclusion
	References
A Comparative Study of Artificial Intelligence Based Methods for Abnormal Pattern Identification in SPC
	Abstract
	1 Introduction and Literature Review
	2 Experimental Design
		2.1 Dataset
		2.2 Classifiers
	3 Results
	4 Conclusion
	References
A Capacity Allocation Model for Air Cargo Industry: A Case Study
	Abstract
	1 Introduction
	2 Literature Review
	3 Model Formulation
		3.1 Conditional Value at Risk (CVaR)
		3.2 Artificial Neural Network (ANN)
	4 Empirical Study
		4.1 Results
	5 Conclusion
		5.1 Further Research
	Acknowledgements
	References
Analysis of Covid-19 News Using Text Mining Techniques
	Abstract
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Data
	5 Findings
		5.1 Time Periods
		5.2 Vaccination
		5.3 K-Means Clustering
		5.4 Sentiment Analysis
	6 Conclusion
	References
Development of Digital Twin for Centrifugal Rotating Equipment Assets
	Abstract
	1 Introduction
	2 Methods and Results
	3 Conclusion
	References
Prediction of Stock Price Movements Using Statistical and Hybrid Regression Techniques to Reduce Diversify Risk
	Abstract
	1 Introduction
	2 Related Work
	3 Proposed Methodology
		3.1 Risk Analysis in Banking Stock Values
		3.2 Forecasting
			3.2.1 Forecasting Method: Long Short Term Memory Algorithm
	4 Experimental Scenario and Analysis
	5 Conclusion
	References
Lung CT Image Enhancement Using Improved Linear Iterative Clustering for Tumor Detection in the Juxta Vascular Region
	Abstract
	1 Introduction
	2 Related Work
	3 Proposed Methodology
		3.1 Architecture
		3.2 Segmentation
		3.3 Improved Linear Iterative Clustering (ILIC)
	4 Evaluation Methods
		4.1 Square Error
		4.2 Peak Signal-to-Noise Ratio
		4.3 Structural Similarity Index Method
	5 Results and Discussion
	6 Conclusion
	References
A Novel Comprehensive Decision-Making Criteria Weights Proposition Under Fuzzy Preference Judgments for Project Type Selection in the Shipbuilding Industry
	Abstract
	1 Introduction
	2 Literature Review
		2.1 Articles on Project Selection
		2.2 Articles on Selection in the Shipbuilding and Marine Industry
	3 Preliminaries
		3.1 Project Types
		3.2 Determination of Criteria
		3.3 Proposed Model
	4 Application and Concluding Remarks
	References
Assessment of Long - Short Term Relation Between Category Sales and IoT Sensors: A FMCG Retailer Application
	1 Introduction
	2 Literature Review
	3 Conceptual Model
	4 Method and Empirical Findings
	5 Conclusion
	References
Pilot Location Selection for Cargomatics: Contactless Parcel Pick-Up Points
	Abstract
	1 Introduction
	2 Methodology
		2.1 Spherical Fuzzy AHP
		2.2 Topsis
		2.3 Study Design
	3 Results
	4 Results
	References
Markovian Decision Process Modeling Approach for Intervention Planning of Partially Observable Systems Prone to Failures
	1 Introduction and Literature Review
	2 The Model
	3 Numerical Analysis
	4 Conclusion
	References
Combined Approach to Evaluation of Microcredit Borrowers Solvency
	Abstract
	1 Introduction
	2 Problem Definition
	3 Multi-criteria Assessment of the Solvency Using the FIS
	4 Multi-criteria Assessment of the Solvency Using the Methods of Pareto and Bord
	5 Conclusion
	References
Recommendations on Streaming Data: E-Tourism Event Stream Processing Recommender System
	Abstract
	1 Introduction
	2 E-Tourism Datasets
	3 Trivago Dataset Description
		3.1 Overview
		3.2 Files Description
		3.3 Descriptive Analysis
	4 Experiments
		4.1 Evaluation Metrics
		4.2 Benchmarks
	5 Conclusion
	References
Determining Annual and Monthly Sales Targets for Stores and Product Categories in FMCG Retail
	Abstract
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Experiments
	5 Conclusion
	References
The Effect of Seed Value Choice in an Incomplete Fuzzy Preference Relations Guided by Social Influence
	Abstract
	1 Introduction
	2 Literature Review
	3 Preliminaries
		3.1 Dealing with Incomplete Information
	4 New Influence-Guided Fuzzy Model for GDM
	5 Experiments and Evaluation
	6 Conclusion
	References
Evaluation of Cryptocurrencies Dynamically Based on Users’ Preferences Using AHP
	Abstract
	1 Introduction
	2 Related Work
	3 Material and Methods
		3.1 Select Preferred Features
		3.2 Select High/Low Preferences
		3.3 Answers to Comparative Questions
		3.4 Rating and Sorting Cryptocurrencies
	4 Experiments and Results
	5 Conclusion
	Acknowledgment
	References
A GRASP Algorithm for Multi-objective Airport Gate Assignment Problem
	Abstract
	1 Introduction
	2 Literature Review
	3 Mathematical Model
	4 The GRASP Algorithm for AGAP
	5 Experimental Results and Analysis
		5.1 Generation of Test Problems
		5.2 Comparisons
		5.3 Summary of Results
	6 Conclusion and Future Directions
	References
Preprocessing Approach Using BADF Filter in MRI Images for Brain Tumor Detection
	Abstract
	1 Introduction
	2 State of Art Models
		2.1 Key Highlights
	3 Methodology
	4 Performance Measures
	5 Performance Evaluating Plots
	6 Conclusion
	References
Intelligent Scheduling and Routing of a Heterogenous Fleet of Automated Guided Vehicles (AGVs) in a Production Environment with Partial Recharge
	Abstract
	1 Introduction
	2 Problem Definition
	3 Literature Review
	4 Solution Approach
		4.1 Indices, Sets and Parameters
		4.2 Decision Variables
		4.3 The Model
	5 Computational Results and Conclusions
	6 Conclusions and Future Remarks
	References
Linguistics
A MCDM Method for Measuring Digital Capability Maturity Based on Linguistic Variables and Fuzzy Integral
	Abstract
	1 Introduction
	2 Literatures Review
	3 Definitions and Notations
	4 Proposed Model
	5 Example
	6 Conclusions
	References
Formalized Deduction of Semantics-Consistent and Quantifier-Dyadic Syllogisms
	Abstract
	1 Introduction
	2 Modeling the Deduction Goal for Expanded Syllogisms
	3 A Formal System Deciding and Generating Valid Quantifier-Expanded Syllogisms
		3.1 Introduction to the Formal System
		3.2 General Rules
		3.3 Rules for the Positive QESs
		3.4 Rules for the Negative QESs
		3.5 Examples of Deductions
	4 Exhaustion and Soundness of the Formal System
	5 Conclusion
	Acknowledgement
	Appendix
	References
Social Sentiment Analysis for Prediction of Cryptocurrency Prices Using Neuro-Fuzzy Techniques
	Abstract
	1 Introduction
	2 Methodology
		2.1 Collection of Tweets
		2.2 Preprocessing
		2.3 Sentiment Analysis
		2.4 Collection of Google Trends Data
		2.5 Collection of Cryptocurrency Price Data and Merging
		2.6 Prediction with Adaptive Neuro-Fuzzy Inference System (ANFIS) Method
			2.6.1 Determining Input Variables, Training and Test Sets
			2.6.2 Determining ANFIS Parameters
		2.7 Performance Evaluation
	3 Results
	4 Discussion and Conclusion
	References
Exploring the Critical Factors of Digital Transformation Based on Linguistic Variables and DEMATEL
	Abstract
	1 Introduction
	2 Literatures Review
	3 Definitions and Notations
	4 Proposed Model
	5 Example
	6 Conclusions
	References
Sentiment Analysis of Elon Musk’s Twitter Data Using LSTM and ANFIS-SVM
	Abstract
	1 Introduction
	2 Literature Review
	3 Models
		3.1 LSTM Model
		3.2 ANFIS-SVM Model
	4 Application
		4.1 Access Twitter Data
		4.2 Feature Extraction and Preprocessing
		4.3 Result Analysis
	5 Conclusion
	References
Surveys
Review of Descriptive Analytics Under Fuzziness
	Abstract
	1 Introduction
	2 Methodology
	3 Fuzzy Association Rules (FARs)
	4 Conclusion
	References
Fuzzy Centrality Measures: A Survey
	Abstract
	1 Introduction
	2 Fundamental Concepts
		2.1 Fuzzy Logic
		2.2 Fuzzy Graphs
	3 Fuzzy Centrality Measures
		3.1 Proposed Fuzzy Centrality Measures
		3.2 Fuzzy Rule-Base Centrality Measures
		3.3 Application of Fuzzy Centrality Measures
	4 Conclusion
	References
Review of Fuzzy Multi-criteria Decision Making Methods for Intelligent Supplier Selection
	Abstract
	1 Introduction
	2 Fuzzy MCDM Approaches for Supplier Selection
		2.1 Fuzzy AHP
		2.2 Fuzzy ANP
		2.3 Fuzzy TOPSIS
		2.4 Fuzzy VIKOR
		2.5 Other Fuzzy MCDM Methods
		2.6 Review Analysis
	3 Discussion and Conclusion
	References
Pythagorean Fuzzy Sets
Domination in Pythagorean Neutrosophic Graphs with an Application in Fuzzy Intelligent Decision Making
	1 Introduction
	2 Domination in Pythagorean Neutrosophic Graphs
	3 Application
		3.1 Algorithm
		3.2 Numerical Example
	4 Conclusion
	References
Game Level Design in Mobile Gaming Industry: Fuzzy Pythagorean Similarity Approach
	Abstract
	1 Introduction
	2 Literature Review
	3 Proposed Methodology and Modelling
	4 Conclusion and Future Work
	References
A Decision Making Approach Using Linear Diophantine Fuzzy Sets with Dombi Operations
	1 Introduction
	2 Preliminaries
	3 Dombi Operational Laws for LDFNs
	4 Weighted Dice Similarity Measure of LDFSs
	5 Decision Making Model Using LDFSs
	6 Illustration of Medical Diagnosis Using LDF Decision Making Model
	7 Conclusion
	References
IoT Platform Selection Using Interval Valued Intuitionistic Fuzzy TOPSIS
	Abstract
	1 Introduction
	2 Literature Review and the IoT Platform Evaluation Criteria
	3 Interval Valued Intuitionistic Fuzzy TOPSIS
	4 Evaluation of IoT Platforms by Using Interval Valued Intuitionistic Fuzzy TOPSIS
	5 Conclusion and Further Suggestions
	References
Interval-Valued Pythagorean Fuzzy AHP&TOPSIS for ERP Software Selection
	Abstract
	1 Introduction
	2 Literature Review
	3 Preliminaries
	4 Proposed PF Methodology
	5 Application
	6 Conclusion
	References
Type-2 Fuzzy Sets
Stabilization of a Fuzzy Controller Using an Interval Type-2 Fuzzy System Designed with the Bee Colony Optimization Algorithm
	Abstract
	1 Introduction
	2 Related Works
	3 Bee Colony Optimization
	4 Interval Type-2 Fuzzy Logic System
		4.1 Interval Type-2 Fuzzy Logic System
	5 Simulation Results
	6 Conclusions
	References
Optimal Design and Internet of Things Implementation of a General Type-2 Classifier for Blood Pressure Levels
	Abstract
	1 Introduction
	2 Proposed Method
	3 Results
	4 Conclusions
	References
Parameter Adaptation in Harmony Search with Shadowed Type-2 Fuzzy Approach for Designing Optimized Interval Type-2 Fuzzy Controllers
	Abstract
	1 Introduction
	2 Literature Review
	3 Shadowed Sets
	4 Proposed Methodology
		4.1 Simulation and Statistical Results
	5 Conclusion and Future Work
	References
Diagnosis of Diabetes Using Type-2 Fuzzy System
	Abstract
	1 Introduction
	2 T2-FNN for Diagnosis of Diabetes
	3 Modelling of T2-FNN for Diabetes’ Diagnosis
	4 Conclusions
	References
Hesitant Fuzzy Sets
Neutrosophic Hesitant Fuzzy Optimization Approach for Multiobjective Programming Problems
	1 Introduction
	2 Literature Review
	3 Neutrosophic Hesitant Fuzzy MOPPs
		3.1 Proposed Optimization Approach
		3.2 Solution Algorithm
	4 Numerical Example: Manufacturing System Problem
	5 Conclusions
	References
How to Make Decisions with Uncertainty Using Hesitant Fuzzy Sets?
	1 Introduction
	2 Preliminaries
		2.1 Hesitant Fuzzy Sets
		2.2 Hesitant Fuzzy Sets Score Functions
	3 Methods
		3.1 The COMET Method
	4 Study Case
	5 Conclusions
	References
Author Index